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ddg_robot_fleet_quota_audit

Robot fleet spend-quota audit: per-robot caps, aggregate cap, unique ids, rate bound ($0.01).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYes
agent_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden. The term 'audit' implies a read-only assessment, and the '$0.01 rate bound' discloses a meaningful cost boundary. However, it does not state whether the tool only reads data, whether the rate bound is enforced or informational, or what happens if limits are exceeded.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense line with no filler. It front-loads the resource and immediately lists the distinct audit dimensions. Despite its brevity, every phrase earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a nested, loosely-typed required parameter and no schema descriptions, this definition is incomplete. It provides no usage guidance and no parameter semantics. The presence of an output schema mitigates return-value concerns, but the agent still lacks what it needs to formulate input correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the required 'spec' parameter is an opaque additionalProperties object with no field-level documentation. The description mentions audit dimensions but never maps them to concrete input fields. An agent cannot reliably construct the 'spec' object or understand the role of 'agent_id' from this definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource ('robot fleet spend-quota') and enumerates the audit's focus: per-robot caps, aggregate cap, unique ids, and a $0.01 rate bound. This differentiates it from sibling fleet audit tools such as geo-fence, delegation-chain, and human-takeover audits. It lacks an explicit main verb, but 'audit' in both name and description conveys the action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no explicit guidance on when to use this tool versus the many sibling audit tools. It does not state conditions, exclusions, prerequisites, or alternatives. Usage is only implied by the name and focus phrases, leaving an agent to infer when this specific audit is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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